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Dr Paul Yoo

  • Overview



    Prior to his current post at Birkbeck, Paul has held academic and research positions at esteemed institutions such as Cranfield (Defence Academy of the UK), Sydney (USyd) and South Korea (KAIST). He was trained originally as a data scientist with degrees from the University of Sydney, Australia, and has since published over ninety papers in prestigious journals and conferences. He has also been the recipient of over US$ 2.5 million in project funding, and various national and international awards for his work in advanced data analytics, machine learning and secure systems research. These accolades include the IEEE Outstanding Leadership Award, Rozetta Award (formerly CMCRC), Emirates Foundation Research Award, and the ICT Fund Award. Most recently, he was awarded the Samsung award for his research on protecting IoT devices using a machine-learning approach [news], Research England’s Global Challenge Research Fund (GCRF), as well as the Macau Government’s Science and Technology Development Fund (FDCT).

    Paul serves as an Associate Editor for several high-ranked journals, including ACM Computing Surveys (Q1), IEEE Transactions on Sustainable Computing (Q1) and IEEE Access (Q1). He has previously served as an Editor for IEEE COMML (Q1) in the areas of big data and machine learning from 2014 to 2019. He is also affiliated with the University of Sydney and Korea Advanced Institute of Science and Technology (KAIST) as a Visiting Professor. Paul is a Senior Member of the IEEE and a Fellow of HEA.

    As the Founder and Chair of BIDA's Threat Intelligence Lab, Paul leads a team that aims to bridge the gap between machine learning advancements and the progression of cyber security. The lab is focused on creating the next generation of intelligent cyber defence and security research environment, including applications of cyber physical systems. The lab currently houses 11 PhD students, and recent photos of their lab meetings can be found here.

    Paul’s research is centred around the theory and methodology of machine learning for large-scale real-world problems. He has successfully applied various machine learning and big data analytic approaches to diverse problem domains, such as security, biology, finance, manufacturing, communications, and education. His current interests include the application of machine learning and big data technologies in security and defence, finance and the engineering industry (e.g., autonomous vehicle) as well as a range of theoretical and methodological problems.

    Paul has also supervised a number of PhD/MSc by Research students to completion, and he welcomes inquiries about research degree (PhD/MPhil) and internship opportunities.


    • PhD in Engineering, University of Sydney, Australia, 2009
    • PgCert in Academic Practice, Cranfield University, 2019

    Web profiles

    Administrative responsibilities

    • Dy Director (Knowledge Exchange), Birkbeck Institute for Data Analytics (BIDA)
    • Chair, Threat Intelligence Lab
    • Programme Director, Digital Tech Solutions (Software)

    Professional memberships

    • Senior Member, IEEE

    • Fellow, HEA

    Honours and awards

    • Samsung Global Research Outreach Award, Samsung, January 2017
    • IEEE Outstanding Leadership Award, IEEE, January 2013
    • Rozetta Award, Rozetta Institute, Australia, July 2006


  • Supervision and teaching

    Supervision and teaching


    Current doctoral researchers


    Doctoral alumni since 2013-14



    Teaching modules

    • Foundations of Data Science II (BUCI070H5)
    • Applied Machine Learning (BUCI077H7)
  • Publications



    Book Section

    Conference Item